Evidence-based managerial decision-making with machine learning: The case of Bayesian inference in aviation incidents

B Cankaya, K Topuz, D Delen, A Glassman - Omega, 2023 - Elsevier
Understanding the factors behind aviation incidents is essential, not only because of the
lethality of the accidents but also the incidents' direct and indirect economic impact. Even …

Bayesian deep learning for aircraft hard landing safety assessment

Y Kong, X Zhang, S Mahadevan - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Landing is generally cited as one of the riskiest phases of a flight, as indicated by the much
higher accident rate than other flight phases. In this paper, we focus on the hard landing …

Operational reliability evaluation and analysis framework of civil aircraft complex system based on intelligent extremum machine learning model

L Jia-Qi, F Yun-Wen, T Da, C Jun-Yu… - Reliability Engineering & …, 2023 - Elsevier
To reasonably implement the operational reliability analysis and describe the importance of
the influencing parameters for the operation status, a framework for operational reliability …

Estimating runway veer-off risk using a Bayesian network with flight data

DJ Barry - Transportation Research Part C: Emerging …, 2021 - Elsevier
Risk assessments in airline operations are mostly qualitative, despite abundant data from
programmes such as flight data monitoring (FDM) and flight operations quality assurance …

Prediction of severity of aviation landing accidents using support vector machine models

DV Silagyi II, D Liu - Accident Analysis & Prevention, 2023 - Elsevier
The purpose of this study was to apply support vector machine (SVM) models to predict the
severity of aircraft damage and the severity of personal injury during an aircraft approach …

Takeoff runway overrun risk assessment in aviation safety based on human pilot behavioral characteristics from real flight data

C Li, R Sun, X Pan - Safety science, 2023 - Elsevier
Aviation safety is an important part of safety science and pilot behavior is a major factor in
flight safety analysis. However, when analyzing unsafe events, such as runway overrun …

A method of applying flight data to evaluate landing operation performance

L Wang, J Zhang, C Dong, H Sun, Y Ren - Ergonomics, 2019 - Taylor & Francis
Pilots' operation has an important effect on flight safety and performance, particularly in the
final landing stage when pilots need to deal with complicated operations. This study aims to …

Deep learning-based approach for civil aircraft hazard identification and prediction

D Zhou, X Zhuang, H Zuo, H Wang, H Yan - IEEE Access, 2020 - ieeexplore.ieee.org
Safety is an eternal issue in the civil aviation transportation. Once a civil aviation accident
occurs, it will cause great casualties and economic losses. In order to ensure the civil …

More experience might not bring more safety: negative moderating effect of pilots' flight experience on their safety performance

S Gao, L Wang - International Journal of Industrial Ergonomics, 2023 - Elsevier
Objective This study aimed to improve our understanding of the relationship between pilots'
total flight hours (TFH), levels of hazardous attitude (HA), and flight safety performance …

Effects of age and flight exposure on flight safety performance: Evidence from a large cross-sectional pilot sample

L Wang, S Gao, R Hong, Y Jiang - Safety science, 2023 - Elsevier
Generally, flight experience protects against the effect of the normal aging process on pilots'
incident involvement, but some studies have shown a negative effect of flight hours on flight …